Qwen, TurboQuant target OpenClaude local coding

The interesting part here is the bottleneck: TurboQuant may help with memory and context efficiency, but the real test is whether OpenClaude can preserve tool-call structure and agent reliability with a local Qwen model.

• –Qwen3.5-9B is in the sweet spot where local inference is plausible, but agent behavior is still much more fragile than chat quality
• –TurboQuant can reduce footprint, yet it does not solve prompt formatting, function-calling, or schema-following issues by itself
• –Community chatter around OpenClaude and similar Claude Code forks suggests local model support is the real draw, but also the main source of breakage
• –The practical win is a cheaper local coding setup; the practical risk is spending time tuning wrappers, context length, and tool prompts instead of shipping code